Healthcare Analytics M.S.

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Availability
Available - On Campus
Program Credits
32

The M.S. in Healthcare Analytics is a technical learning program that combines an emphasis on information systems, databases, advanced reporting, and project management with health services administration and leadership. The degree is offered in cooperation with the School of Nursing and Health Sciences.

Graduates of this degree are equipped with essential skills in database structures, reporting applications, and several facets of healthcare administration, equipping them for careers as data and business analysts, administrators, managers, and executives in health-related fields.

Degree Requirements and Courses

View Guided Curriculum

  • INFS6010  Decision Support Systems
  • INFS6510  Introduction To Data Analytics
  • HSAM6020  Exec Leadership In Healthcare
  • HSAM6060  Healthcare Policy, Law / Politics
  • INFS6240  Database Management Systems
  • HSAM6330  Managing Healthcare Information Systems
  • INFS6720  Data Mining
  • INFS6440  Advanced Healthcare Information Systems
  • INFS6730  Data Integration for Analytics
  • INFS/CYMS 6000-7000 Level Elective
  • INFS7479  Project Management
  • INFS7000  Program Outcomes Assessment (0 credits)

Program Learning Outcomes

Through your course work, you will learn how to:

  • Develop, manage, and maintain healthcare systems that allow for strategic use of
    information in organizational settings.
  • Effectively leverage technology tools to generate best options for decision making for
    healthcare services in an organization.
  • Develop a broad and deep understanding of the various methods, software tools, and
    topical expertise needed to discover meaningful patterns in health-related data – and
    effectively communicate the implications for patient outcomes.
  • Become leaders in the changing domain of healthcare analytics with a focus on
    healthcare data to improve patient care.

Admissions, Tuition, and Scholarship Information

  • Prospective students should have an undergraduate GPA of 2.75 and above with a degree in computer science, information systems, mathematics, software engineering, or related fields.
  • Students from other fields are welcome to apply, but should note that some experience with introductory statistics is recommended.

Contact Us

Natalya G. Bromall, Ph.D.

Director, CIS Graduate Programs 
Professor of Computer and Information Systems

Email: bromall@rmu.edu 
Phone: 412-397-6435 
Office Wheatley Center 305

Jamie L. PinchotJamie L. Pinchot, D.Sc.

Department Head, Computer and Information Systems
Professor of Computer and Information Systems

Email: pinchot@rmu.edu
Phone: 412-397-6050 
Office: Wheatley Center 309

Samantha J. Monda, Ph.D.

Department Head, Psychology and Health Sciences
Associate Professor of Psychology

Email: monda@rmu.edu
Phone: 412-397-6036

Sample Courses:

These are some of the classes for students in this academic program:

Managing Healthcare Information Systems
Data Mining
Executive Leadership in Healthcare

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School of Data Intelligence and Technology

School of Data Intelligence and Technology

In the School of Data Intelligence & Technology, students are immersed in cutting-edge programs that prepare them for careers in a variety of rapidly evolving fields. 

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